Validity

Anotações:

• are you  measuring what you are supposed to be measuring if any extraneous variables you cannot be 100% sure and cannot infer cause and effect

1. ecological validity
   1. strengths of low eco val research
      1. high control

         Anotações:

         • manipulate and isolate the IV to measure the effect on the DV = infer cause and effect
         1. example

            Anotações:

            • loftus and palmer changing the verb in the sentance manipulates the iv and allows to see the cause of the different speed estimations
      2. more reliable

         Anotações:

         • standardised procedure making it easy to replicate 
         1. example

            Anotações:

            • bruce conducted an experiment into recognising faces had standadised images and composite images and had to match composties to original = repeated in the same way
      3. high scientific equipment used

         Anotações:

         • this is not something we come across every day = objective measurments to be made can collect quantitaive data allowing easy comparisons. 
         1. example

            Anotações:

            • dement and kleitman when conducting a study on dreaming attatched elctrode to scalp and eye lids, this is not how people normally sleep but gives us indepth information that wouldn't be accsessiable without 
   2. weaknesses low of eco val research
      1. reductionist

         Anotações:

         • as the situation is very controlled it simplifies complex behavouir by isolating the IV does not look for a combo of factors 
      2. generalisability

         Anotações:

         • harder to generalise the results as often effected by social desirability and demand characterisitcs due to high levels of control
         1. example

            Anotações:

            • dement and kleitman and dreaming - not being allowed caffine and nicotine and being woken up during the night = not generalised to a normal nights sleep
      3. lack of qual data

         Anotações:

         • as scientfic methods collect objective quantitaive data and this lacks reason and insight 
2. internal

   Anotações:

   • does the study measure what its supposed to within the study itself
3. external

   Anotações:

   • does the study measure what it claims to outside the study
4. concurrent

   Anotações:

   • comparing the measure with an already existing established measure of the same variable to check for concurrent validity 
5. face

   Anotações:

   • are you measuring what you say you want to measure
6. population

   Anotações:

   • the extent to which the results of a study can be generalised to the target population
7. strengths
   1. highly reliable
   2. controlled
   3. useful
   4. generalisable
8. weaknesses
   1. ethics